import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					ProphetNetTokenizer
 __A			       =					False







 def 		__UpperCAmelCase				(		self				:   Optional[Any])						->	Optional[int]:


   """simple docstring"""







   super().setUp()

   _UpperCamelCase           =    [
       "[UNK]",
       "[CLS]",
       "[SEP]",
       "[PAD]",
       "[MASK]",
       "want",
       "##want",
       "##ed",
       "wa",
       "un",
       "runn",
       "##ing",
       ",",
       "low",
       "lowest",
   ]
   _UpperCamelCase           =    os.path.join(self.tmpdirname							, VOCAB_FILES_NAMES["vocab_file"])
   with open(self.vocab_file							, "w"							, encoding="utf-8") as vocab_writer:
     vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))







 def 		__UpperCAmelCase				(		self				:   Dict							, lowercase_				:   Any)						->	str:


   """simple docstring"""







   _UpperCamelCase           =    "UNwant\u00E9d,running"
   _UpperCamelCase           =    "unwanted, running"
   return input_text, output_text







 def 		__UpperCAmelCase				(		self				:   List[Any])						->	List[str]:


   """simple docstring"""







   _UpperCamelCase           =    self.tokenizer_class(self.vocab_file)

   _UpperCamelCase           =    tokenizer.tokenize("UNwant\u00E9d,running")
   self.assertListEqual(lowercase_							, ["un", "##want", "##ed", ",", "runn", "##ing"])
   self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_)							, [9, 6, 7, 12, 10, 11])







 def 		__UpperCAmelCase				(		self				:   List[str])						->	Union[str, Any]:


   """simple docstring"""







   _UpperCamelCase           =    BasicTokenizer()

   self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz")							, ["ah", "\u535A", "\u63A8", "zz"])







 def 		__UpperCAmelCase				(		self				:   List[str])						->	List[str]:


   """simple docstring"""







   _UpperCamelCase           =    BasicTokenizer(do_lower_case=lowercase_)

   self.assertListEqual(
       tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  ")							, ["hello", "!", "how", "are", "you", "?"])
   self.assertListEqual(tokenizer.tokenize("H\u00E9llo")							, ["hello"])







 def 		__UpperCAmelCase				(		self				:   Optional[Any])						->	Any:


   """simple docstring"""







   _UpperCamelCase           =    BasicTokenizer(do_lower_case=lowercase_							, strip_accents=lowercase_)

   self.assertListEqual(
       tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")							, ["hällo", "!", "how", "are", "you", "?"])
   self.assertListEqual(tokenizer.tokenize("H\u00E9llo")							, ["h\u00E9llo"])







 def 		__UpperCAmelCase				(		self				:   str)						->	List[Any]:


   """simple docstring"""







   _UpperCamelCase           =    BasicTokenizer(do_lower_case=lowercase_							, strip_accents=lowercase_)

   self.assertListEqual(
       tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")							, ["hallo", "!", "how", "are", "you", "?"])
   self.assertListEqual(tokenizer.tokenize("H\u00E9llo")							, ["hello"])







 def 		__UpperCAmelCase				(		self				:   List[Any])						->	Optional[Any]:


   """simple docstring"""







   _UpperCamelCase           =    BasicTokenizer(do_lower_case=lowercase_)

   self.assertListEqual(
       tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")							, ["hallo", "!", "how", "are", "you", "?"])
   self.assertListEqual(tokenizer.tokenize("H\u00E9llo")							, ["hello"])







 def 		__UpperCAmelCase				(		self				:   Dict)						->	int:


   """simple docstring"""







   _UpperCamelCase           =    BasicTokenizer(do_lower_case=lowercase_)

   self.assertListEqual(
       tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  ")							, ["HeLLo", "!", "how", "Are", "yoU", "?"])







 def 		__UpperCAmelCase				(		self				:   Tuple)						->	Optional[int]:


   """simple docstring"""







   _UpperCamelCase           =    BasicTokenizer(do_lower_case=lowercase_							, strip_accents=lowercase_)

   self.assertListEqual(
       tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")							, ["HäLLo", "!", "how", "Are", "yoU", "?"])







 def 		__UpperCAmelCase				(		self				:   Any)						->	int:


   """simple docstring"""







   _UpperCamelCase           =    BasicTokenizer(do_lower_case=lowercase_							, strip_accents=lowercase_)

   self.assertListEqual(
       tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")							, ["HaLLo", "!", "how", "Are", "yoU", "?"])







 def 		__UpperCAmelCase				(		self				:   List[Any])						->	str:


   """simple docstring"""







   _UpperCamelCase           =    BasicTokenizer(do_lower_case=lowercase_							, never_split=["[UNK]"])

   self.assertListEqual(
       tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]")							, ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"])







 def 		__UpperCAmelCase				(		self				:   Dict)						->	List[Any]:


   """simple docstring"""







   _UpperCamelCase           =    ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

   _UpperCamelCase           =    {}
   for i, token in enumerate(lowercase_):
     _UpperCamelCase           =    i
   _UpperCamelCase           =    WordpieceTokenizer(vocab=lowercase_							, unk_token="[UNK]")

   self.assertListEqual(tokenizer.tokenize("")							, [])

   self.assertListEqual(tokenizer.tokenize("unwanted running")							, ["un", "##want", "##ed", "runn", "##ing"])

   self.assertListEqual(tokenizer.tokenize("unwantedX running")							, ["[UNK]", "runn", "##ing"])







 @require_torch
 def 		__UpperCAmelCase				(		self				:   Optional[Any])						->	Optional[Any]:


   """simple docstring"""







   _UpperCamelCase           =    self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased")

   _UpperCamelCase           =    ["A long paragraph for summarization.", "Another paragraph for summarization."]
   _UpperCamelCase           =    [1037, 2146, 20423, 2005, 7680, 7849, 3989, 1012, 102]
   _UpperCamelCase           =    tokenizer(lowercase_							, padding=lowercase_							, return_tensors="pt")
   self.assertIsInstance(lowercase_							, lowercase_)
   _UpperCamelCase           =    list(batch.input_ids.numpy()[0])
   self.assertListEqual(lowercase_							, lowercase_)

   self.assertEqual((2, 9)							, batch.input_ids.shape)
   self.assertEqual((2, 9)							, batch.attention_mask.shape)







 def 		__UpperCAmelCase				(		self				:   Tuple)						->	int:


   """simple docstring"""







   self.assertTrue(_is_whitespace(" "))
   self.assertTrue(_is_whitespace("\t"))
   self.assertTrue(_is_whitespace("\r"))
   self.assertTrue(_is_whitespace("\n"))
   self.assertTrue(_is_whitespace("\u00A0"))

   self.assertFalse(_is_whitespace("A"))
   self.assertFalse(_is_whitespace("-"))







 def 		__UpperCAmelCase				(		self				:   Optional[int])						->	Any:


   """simple docstring"""







   self.assertTrue(_is_control("\u0005"))

   self.assertFalse(_is_control("A"))
   self.assertFalse(_is_control(" "))
   self.assertFalse(_is_control("\t"))
   self.assertFalse(_is_control("\r"))







 def 		__UpperCAmelCase				(		self				:   int)						->	List[Any]:


   """simple docstring"""







   self.assertTrue(_is_punctuation("-"))
   self.assertTrue(_is_punctuation("$"))
   self.assertTrue(_is_punctuation("`"))
   self.assertTrue(_is_punctuation("."))

   self.assertFalse(_is_punctuation("A"))
   self.assertFalse(_is_punctuation(" "))







 @slow
 def 		__UpperCAmelCase				(		self				:   Optional[Any])						->	Union[str, Any]:


   """simple docstring"""







   _UpperCamelCase           =    self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased")

   _UpperCamelCase           =    tokenizer.encode("sequence builders"							, add_special_tokens=lowercase_)
   _UpperCamelCase           =    tokenizer.encode("multi-sequence build"							, add_special_tokens=lowercase_)

   _UpperCamelCase           =    tokenizer.build_inputs_with_special_tokens(lowercase_)
   _UpperCamelCase           =    tokenizer.build_inputs_with_special_tokens(lowercase_							, lowercase_)

   assert encoded_sentence == text + [102]
   assert encoded_pair == text + [102] + text_a + [102]





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase__  =					{
    '''configuration_deberta''': ['''DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DebertaConfig''', '''DebertaOnnxConfig'''],
    '''tokenization_deberta''': ['''DebertaTokenizer'''],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__  =					['''DebertaTokenizerFast''']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__  =					[
       '''DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''DebertaForMaskedLM''',
       '''DebertaForQuestionAnswering''',
       '''DebertaForSequenceClassification''',
       '''DebertaForTokenClassification''',
       '''DebertaModel''',
       '''DebertaPreTrainedModel''',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__  =					[
       '''TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''TFDebertaForMaskedLM''',
       '''TFDebertaForQuestionAnswering''',
       '''TFDebertaForSequenceClassification''',
       '''TFDebertaForTokenClassification''',
       '''TFDebertaModel''',
       '''TFDebertaPreTrainedModel''',
   ]


if TYPE_CHECKING:
   from .configuration_deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig, DebertaOnnxConfig
   from .tokenization_deberta import DebertaTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_deberta_fast import DebertaTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_deberta import (
          DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
          DebertaForMaskedLM,
          DebertaForQuestionAnswering,
          DebertaForSequenceClassification,
          DebertaForTokenClassification,
          DebertaModel,
          DebertaPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_deberta import (
          TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFDebertaForMaskedLM,
          TFDebertaForQuestionAnswering,
          TFDebertaForSequenceClassification,
          TFDebertaForTokenClassification,
          TFDebertaModel,
          TFDebertaPreTrainedModel,
      )


else:
   import sys

   lowerCamelCase__  =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




